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Loma Alta Dr / Cliff Dr median real estate price is $1,036,186, which is more expensive than 82.8% of the neighborhoods in California and 96.2% of the neighborhoods in the U.S.
The average rental price in Loma Alta Dr / Cliff Dr is currently $2,450, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 40.5% of California neighborhoods.
Loma Alta Dr / Cliff Dr is an urban neighborhood (based on population density) located in Santa Barbara, California. This is a coastal neighborhood (i.e., is on the ocean, a bay, or inlet).
Loma Alta Dr / Cliff Dr real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and small apartment buildings. Most of the residential real estate is renter occupied. Many of the residences in the Loma Alta Dr / Cliff Dr neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Real estate vacancies in Loma Alta Dr / Cliff Dr are 5.4%, which is lower than one will find in 71.6% of American neighborhoods. Demand for real estate in Loma Alta Dr / Cliff Dr is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Loma Alta Dr / Cliff Dr is a neighborhood that is on the ocean, a bay, or inlet. Many times, such places have amenities that bring locals and visitors to the waterfront for recreational activities or to check out the scenery. In some densely populated areas that are less financially well-off, the neighborhood waterfront can be relatively industrial and less open to recreation. In addition to being coastal, Loma Alta Dr / Cliff Dr is a very nautical neighborhood, meaning that it is somewhat historic, walkable, densely populated and on the water. This gives the neighborhood a very nautical feel, with some seaside and shipping feel, which some may really enjoy the sights and sounds of.
In addition, renter-occupied real estate is dominant in the Loma Alta Dr / Cliff Dr neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 89.4%, which is higher than 96.9% of the neighborhoods in America. If you were to buy and live in the property you bought here, you would be almost alone in doing so.
Furthermore, the Loma Alta Dr / Cliff Dr neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 82.8% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
Would you like to be able to ride your bike to work? If you are attracted to the idea of getting a little exercise of the two-wheeled type while reducing your carbon footprint, bicycling to work might be the answer. But which neighborhood you live in can make this either impossible, or alternatively, a great and realistic option. NeighborhoodScout's analysis revealed that the Loma Alta Dr / Cliff Dr neighborhood is a fantastic option for bicycle commuters, as 7.6% of commuters here do ride their bikes to and from work on a daily basis. This is a higher amount than we found in 98.9% of the neighborhoods in America.
NeighborhoodScout's analysis shows that the Loma Alta Dr / Cliff Dr neighborhood has a greater concentration of residents currently enrolled in college than 97.2% of the neighborhoods in the U.S. With 17.0% of the population here attending college, this is very much a college-focused neighborhood.
There are more people living in the Loma Alta Dr / Cliff Dr neighborhood employed as sales and service workers (59.0%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
Did you know that the Loma Alta Dr / Cliff Dr neighborhood has more Belgian and Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 0.7% of this neighborhood's residents have Belgian ancestry and 59.5% have Mexican ancestry.
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Loma Alta Dr / Cliff Dr neighborhood in Santa Barbara are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 51.2% of the neighborhoods in America. With 26.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 71.6% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Loma Alta Dr / Cliff Dr neighborhood, 41.0% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 31.3% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (15.8%), and 11.5% in clerical, assistant, and tech support occupations.
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Loma Alta Dr / Cliff Dr neighborhood is Spanish, spoken by 51.8% of households. Other important languages spoken here include English and Chinese.
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Loma Alta Dr / Cliff Dr neighborhood in Santa Barbara, CA, residents most commonly identify their ethnicity or ancestry as Mexican (59.5%). There are also a number of people of German ancestry (7.7%), and residents who report Irish roots (6.1%), and some of the residents are also of Asian ancestry (4.2%), along with some English ancestry residents (3.7%), among others. In addition, 39.2% of the residents of this neighborhood were born in another country.
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in Loma Alta Dr / Cliff Dr neighborhood spend under 15 minutes commuting one-way to work (48.1% of working residents), one of the shortest commutes across America.
Here most residents (61.4%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (17.5%) and 7.6% of residents also bicycle for their daily commute. In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to CA* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
La Cumbre Junior High School
2255 Modoc Rd. Santa Barbara, CA 93101 |
07-08 | ||
|
Mckinley Elementary School
350 Loma Alta Dr. Santa Barbara, CA 93109 |
KG-06 | ||
|
San Marcos Senior High School
4750 Hollister Ave. Santa Barbara, CA 93110 |
09-12 | ||
| * 10 is highest | |||
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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